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I can't understand why in the Results file I have the error on the training set (here I have copied only the last batch but it's the same for other) more or less ten times higher than the error on the validation set (which does not make any sense to me). It is the same for every epoch more or less.
I set the evaluation interval (eval_interval) of my model on every epoch, but what does it mean? Does it mean to compute the loss and other quantities like rmse on energies, forces etc on the validation set? I don't think I have understood this clearly.
What is the relation between errors and losses? I am using the sress loss function with Energy weight 1, Force weight = Stress weight = 1
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Hi,
I have already asked this in a old thread yesterday but maybe I won't get any answer so I decided to open a new one.
At the end of one of my training I have this results in the log file
They appear to be normal because errors on training is slightly lower than the errors on validation and test sets.
I can't understand why in the Results file I have the error on the training set (here I have copied only the last batch but it's the same for other) more or less ten times higher than the error on the validation set (which does not make any sense to me). It is the same for every epoch more or less.
I set the evaluation interval (
eval_interval
) of my model on every epoch, but what does it mean? Does it mean to compute the loss and other quantities like rmse on energies, forces etc on the validation set? I don't think I have understood this clearly.What is the relation between errors and losses? I am using the sress loss function with Energy weight 1, Force weight = Stress weight = 1
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